Ming Wang
CGG
15 Papers
61 Citations
Ming Wang is an academic researcher from CGG. The author has contributed to research in topics: Finite element method & Seismic migration. The author has an hindex of 9, co-authored 14 publications. Previous affiliations of Ming Wang include Peking University & University of California, Irvine.
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Papers
Minimal finite element spaces for $2m$-th-order partial differential equations in $R^n$
Ming Wang,Jinchao Xu +1 more
TL;DR: The infinite element spaces constructed in this paper constitute the only class of finite element spaces that are known and proven to be convergent for the approximation of any 2m-th-order elliptic problems in any Rn, such that n ≥ m ≥ 1.
A new class of Zienkiewicz-type non-conforming element in any dimensions
TL;DR: A new class of Zienkiewicz-type non-conforming finite element, in n spatial dimensions with n ≥ 2, is proposed and is proved to be convergent for the biharmonic equation.
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Least-squares RTM: Reality and possibilities for subsalt imaging
TL;DR: In this paper, the authors compared the performance of data-domain vs. image-domain least-squares migration (LSM), as well as methods using single-iteration approximation vs. iterative inversion.
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Convergence Analysis of Triangular MAC Schemes for Two Dimensional Stokes Equations
Long Chen,Ming Wang,Lin Zhong +2 more
TL;DR: The proposed discretization of the classical MAC scheme on rectangular grids to triangular grids is generalized and retains all the desirable properties of the MAC scheme: exact divergence-free, solver-friendly, and local conservation of physical quantities.
A Multigrid Solver based on Distributive Smoother and Residual Overweighting for Oseen Problems
TL;DR: An efficient multigrid solver for the O seen problems discretized by Marker and Cell (MAC) scheme on staggered grid is developed and Least squares commutator distributive Gauss-Seidel (LSC-DGS) relaxation is generalized and developed for Oseen problems.
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